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Title
[
Type
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Year
Journal Article
P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities
”
,
Education and Information Technologies
, vol. 22, pp. 3207–3229, 2017.
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P. Contucci
,
Panizzi, E.
,
Ricci-Tersenghi, F.
, and
Sirbu, A.
,
“
Egalitarianism in the rank aggregation problem: a new dimension for democracy
”
,
Quality & Quantity
, pp. 1–16, 2015.
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A. Baroni
,
Conte, A.
,
Patrignani, M.
, and
Ruggieri, S.
,
“
Efficiently Clustering Very Large Attributed Graphs
”
,
arXiv preprint arXiv:1703.08590
, 2017.
DOI
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Efficient breadth-first mining of frequent pattern with monotone constraints
”
,
Knowl. Inf. Syst.
, vol. 8, pp. 131-153, 2005.
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A. Rossi
,
Pappalardo, L.
,
Cintia, P.
,
F Iaia, M.
,
Fernàndez, J.
, and
Medina, D.
,
“
Effective injury forecasting in soccer with GPS training data and machine learning
”
,
PloS one
, vol. 13, p. e0201264, 2018.
DOI
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R. Portocarre Sarmento
,
Lemos, L.
,
Cordeiro, M.
,
Rossetti, G.
, and
Cardoso, D.
,
“
DynComm R Package–Dynamic Community Detection for Evolving Networks
”
,
arXiv preprint arXiv:1905.01498
, 2019.
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A. Brogi
,
Renso, C.
, and
Turini, F.
,
“
Dynamic composition of parameterised logic modules
”
,
Comput. Lang.
, vol. 25, pp. 211-242, 1999.
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A. Brogi
,
Renso, C.
, and
Turini, F.
,
“
Dynamic Composition of Parameterised Logic Modules
”
,
Computer Languages
, pp. 211–242, 1999.
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M. Nanni
,
Trasarti, R.
,
Monreale, A.
,
Grossi, V.
, and
Pedreschi, D.
,
“
Driving Profiles Computation and Monitoring for Car Insurance CRM
”
,
Journal ACM Transactions on Intelligent Systems and Technology (TIST)
, vol. 8, pp. 14:1–14:26, 2016.
DOI
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G. Calogiuri
,
Johansen, P. Foss
,
Rossi, A.
, and
Thurston, M.
,
“
Do “girls just wanna have fun”? Participation trends and motivational profiles of women in Norway’s ultimate mass participation ski event
”
,
Frontiers in Psychology
, vol. 10, p. 2548, 2019.
DOI
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A. Romei
,
Ruggieri, S.
, and
Turini, F.
,
“
Discrimination discovery in scientific project evaluation: A case study
”
,
Expert Systems with Applications
, vol. 40, pp. 6064–6079, 2013.
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S. Hajian
,
Domingo-Ferrer, J.
,
Monreale, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Discrimination- and privacy-aware patterns
”
,
Data Min. Knowl. Discov.
, vol. 29, pp. 1733–1782, 2015.
DOI
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R. Trasarti
,
Olteanu-Raimond, A. - M.
,
Nanni, M.
,
Couronné, T.
,
Furletti, B.
,
Giannotti, F.
,
Smoreda, Z.
, and
Ziemlicki, C.
,
“
Discovering urban and country dynamics from mobile phone data with spatial correlation patterns
”
,
Telecommunications Policy
, p. -, 2014.
DOI
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S. Rinzivillo
,
Mainardi, S.
,
Pezzoni, F.
,
Coscia, M.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Discovering the Geographical Borders of Human Mobility
”
,
KI - Künstliche Intelligenz
, 2012.
DOI
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R. Guidotti
,
Gabrielli, L.
,
Monreale, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Discovering temporal regularities in retail customers’ shopping behavior
”
,
EPJ Data Science
, vol. 7, p. 6, 2018.
DOI
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B. Furletti
,
Trasarti, R.
,
Cintia, P.
, and
Gabrielli, L.
,
“
Discovering and Understanding City Events with Big Data: The Case of Rome
”
,
Information
, vol. 8, p. 74, 2017.
DOI
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C. R. Daniel Ornellana
,
“
Developing a Spatial Knowledge Representation for Pedestrian Interactions
”
, 2009.
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S. Bruestle
,
Pappalardo, L.
, and
Guidotti, R.
,
“
Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data
”
,
Available at SSRN 3452058
, 2019.
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M. Aldinucci
,
Ruggieri, S.
, and
Torquati, M.
,
“
Decision tree building on multi-core using FastFlow
”
,
Concurrency and Computation: Practice and Experience
, vol. 26, pp. 800–820, 2014.
DOI
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F. Giannotti
and
Pedreschi, D.
,
“
Datalog with Non-Deterministic Choice Computers NDB-PTIME
”
,
J. Log. Program.
, vol. 35, pp. 79-101, 1998.
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L. Pappalardo
and
Simini, F.
,
“
Data-driven generation of spatio-temporal routines in human mobility
”
,
Data Mining and Knowledge Discovery
, 2017.
DOI
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D. Janssens
,
Giannotti, F.
,
Nanni, M.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Data Science for Simulating the Era of Electric Vehicles
”
,
KI - Künstliche Intelligenz
, 2012.
DOI
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R. Pellungrini
,
Pappalardo, L.
,
Pratesi, F.
, and
Monreale, A.
,
“
A Data Mining Approach to Assess Privacy Risk in Human Mobility Data
”
,
ACM Trans. Intell. Syst. Technol.
, vol. 9, pp. 31:1–31:27, 2017.
DOI
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A. Sirbu
,
Crane, M.
, and
Ruskin, H. J.
,
“
Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks
”
,
Microarrays
, vol. 4, pp. 255–269, 2015.
DOI
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A. Monreale
,
Trasarti, R.
,
Pedreschi, D.
,
Renso, C.
, and
Bogorny, V.
,
“
C-safety: a framework for the anonymization of semantic trajectories
”
,
Transactions on Data Privacy
, vol. 4, pp. 73-101, 2011.
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